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In an achievement that reflects academic and research excellence, students from the Prince Al-Hussein Bin Abdullah College for Information Technology at Al al-Bayt University participated in the ICCIAA 2025 Conference, hosted by the University of Petra. The three-day event featured specialized scientific presentations in the fields of Artificial Intelligence and Machine Learning, under the supervision of Dr. Suheila Abu Obeidah.

On the first day, students Khaled Shukri Hamad, Bashar Ayman Harahsheh, Mohammad Yaser Al-Abdullatif, Wadee' Naseem Al-Saeed, and Mohammad Abdullah Abu Humaidah presented a research paper entitled "Automated Lung Cancer Diagnosis Using Transfer Learning with EfficientNetV2-S: A Deep Learning Approach based on IQ-OTHNCCD Dataset." The paper addressed the use of deep learning techniques for the automated diagnosis of lung cancer.

On the second day, students Mo’men Malkawi, Mohammad Bataineh, Rabee’ Al-Khatib, and Osama Nayfeh presented a scientific paper entitled "Enhancing Autism Spectrum Disorder Detection: A Novel Ensemble Learning Framework with Multi-Model Integration," in which they proposed an innovative framework that integrates multiple models to improve the accuracy of Autism Spectrum Disorder diagnosis.

This distinguished participation represents an important step in encouraging students to engage in practical scientific research and in elevating the university’s name in specialized academic forums.

Sincere appreciation to our hardworking students, and heartfelt thanks to Dr. Suheila for her continuous guidance and support.

#AlalBayt_University

#ICCIAA2025

#Artificial_Intelligence​

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